超导量点—免疫荧光法快速测定粮食中黄曲霉毒素B1的方法验证

以超导量点为荧光探针,建立了一种超导量点-免疫荧光快速测定粮食中黄曲霉毒素B1的方法。采用多种方式评价了该方法与高效液相色谱法及酶联免疫吸附法检测稻谷及玉米样品的结果一致性,以验证该方法的准确性,同时对该方法的重复性和台间差异进行了考察。结果表明,超导量点-免疫荧光法对稻谷和玉米等粮食样品的检测结果与高效液相色谱法和酶联免疫法一致,表明该方法准确可靠,同时该方法两台仪器间的检测结果无显著性差异,且重复性好。     

稻谷陈化影响稻米蒸煮食用品质研究进展

该文综述稻谷在储藏过程中淀粉、脂质、蛋白质三种单一组分变化及脂质―淀粉相互作用、脂质―蛋白质相互作用和蛋白质―淀粉相互作用对稻米蒸煮食用性质影响;探讨稻谷储藏过程中米谷蛋白氧化影响稻米蒸煮食用品质途径和机理,并提出研究稻谷陈化机理新方向。     

Light music online system based on FPGA and Convolutional Neural Network

In recent years, research in education and study abroad has focused on collaborative research between education and learning, for example, using “diversified education” and “flexible education” in the teaching process. Simultaneously, colleges in numerous nations likewise that undergrad instruction must address self-association and variation models in the training and learning measure. These advanced instructive thoughts and college strategies offer viable hypothetical help for this study. However, the traditional educational model of “diversity” and “cognitive flexibility” pays attention to the difference in student learning knowledge. Personal Career Goals: In other words, this model is designed from educational content instructions, ignoring key factors. It must be a difference in the actual meaning of the development of the “diversity” student personality. Therefore, despite the various social systems, the importance of reforms in foreign universities and education has improved, reflecting previous experimental educational effectiveness assessments, reflecting the development of traditional educational theories based on the FPGA and Convolutional Neural Network (CNN). Teach and summarize your experience. In Reality, it easy to find a universal educational model. Because the actual educational model comes from achieving educational goals, consensus can be obtained from numerous educational theories and practical studies.     

Coupling of agricultural economy and environment based on 5G network and internet of things system

The used to assess the impact of environmental change in the rural environment; it is keen on a couple of existing biotechnology and financial model. Reasonable criticism of the quality of speech between ordering and implicit environmental and financial cycles. The natural model measures the monetary model and option information used to connect this land. The two gradually developed a level of intelligent coupling of agriculture, natural climate, and the rural economy, increasing the coordination between the coupling sub-frames. In general, the natural agriculture climate also prevents damage to the agricultural economy of the planned progress from essential coordination coupled to a sustained coordination and dominance level. An agricultural economy is based on agriculture and bio-climatic corruption for the rapid development cost. They also are paid to promoting more financial and environmental benefits. The level of coordination in advance, gardening contributes two sub-frames together. These findings are critical connecting lines to improve the viable agricultural economy to improve in the semi-arid region. Rural business analysts to application problems tend to zero is to improve and expand academic discussion lawyers and financial practices given by experts.     

A parallel computing and mathematical method optimization of CNN network convolution

Training convolutional neural network (CNN) is a compute-intensive task in parallel tolerance has become a complete training is very important. There are two obstacles in the distributed memory computing environment to develop a scalable parallel CNN. It depends on a small volume across the two model parameters shown adjacent to the height data. The other presents the maximum overlapping parallel computing inter-process communication, large amounts of data over a communication channel to go. They will be transferred to the calculation. Replication by using threads on each compute node to initiate communication available after gradient is achieved. Reverse spread output data is generated in each stage of the model layer, and data communication may be performed in parallel with the calculation of other layers. To impact the replication study's efficiency and scalability, evaluated the model structure and optimization of various mathematical methods. When using the image VGG- net model training dataset, use 256 and 512, respectively, small batch size to achieve speedup computing nodes.     

Urban environment art design simulation based on FPGA and neural network

Environmental process and compositions of the interior and exterior spaces period, outside the species is a continuation of mixing. Ability to Cities Climate Progress Street Development (CCPSD) under development and urban ecosystem is of great interest. Like the collaborative process, the chemical composition and natural finish edge has appeared on the stage. Urban development is inseparable from the appearance of human experience, a more complete overall climate. Gradually different base and current methods of life living material, natural integration plan needs a metropolitan area, then specific social nature and philosophy of environmental protection of the city, and more thoughts. In this article, method will focus on metropolitan areas the natural clear plan to complete the examination. Set best-effort edge within the metropolitan area to explicitly check liner Field Programmable Gate Array (FPGA). The purpose and work planning and layout of the system need to be considered.     

Collection and Application of Ship Energy Consumption Data Based on Image Recognition Technology

Navigation challenge corresponding development strategies to overcome the collection and application of the shipbuilding industry due to the control of various data-based energy efficiency measures. Ship performance data collection and navigation of ships navigate this energy efficiency strategy, an integral part of the management plan. The provisions of various navigation strategies in CNNs (Convolutional Neural Network) are believed to play an important role in ship performance in modern integrated bridge systems. Therefore, it realizes a large amount of onboard data to process the process. In general, navigation systems can provide guidance for the transmission in exercise, and provide effective guidance for the navigation information and direction of the ship. It can provide effective information and convenience for the exercise of the ship during the voyage of the ship. This paper mainly studies the methods and ways to provide some solutions through big data. The author suggests using the data flow chart recorded for the ship engine. This can easily monitor the main performance and some data of the ship during navigation, thus improving the guiding effect of navigation. Database image recognition is to monitor possible accidents through sensors, and classify and compress the monitored data. The classified ship dataset is then compressed to reduce the number of parameters passed to the coastal data center. A compressed dataset of ship performance and navigation information is expanded to its original size in the first step of the process. The two steps of data compression and expansion are done with another CNN technology (i.e., deep learning) of the autoencoder. The new dataset contains estimated ship performance parameters and navigation information, even if the compressed dataset has been expanded to its original size. Therefore, comparisons between actual and presumed datasets are made to change.     

掌叶苹婆种子提取物对三种主要储粮害虫的毒力测定

采用索氏提取法,以丙酮作为有机溶剂制备掌叶苹婆种子提取物,并利用滤纸药膜法研究了掌叶苹婆种子提取物对玉米象、谷蠹和锈赤扁谷盗3种试虫成虫的触杀作用。结果表明,掌叶苹婆种子丙酮提取物对玉米象、谷蠹和锈赤扁谷盗3种试虫成虫具有很强的触杀作用,且触杀作用随着处理时间延长和处理剂量增加而显著增强。在浓度3.923 mg/cm2处理剂量下处理96 h后提取物对3种试虫的触杀作用校正死亡率均达到100%。掌叶苹婆种子丙酮提取物对玉米象、谷蠹和锈赤扁谷盗成虫的触杀毒力LD50值分别为:0.875、0.716和1.389 mg/cm2。3种试虫成虫对提取物的敏感性为谷蠹>玉米象>锈赤扁谷盗。     

湿米粉存储过程品质的变化及相关性分析

研究了湿米粉于冰箱(4℃、相对湿度90%)以及常温(20℃、相对湿度80%)条件下储存48h过程中,其质构、感官、蒸煮特性的变化及其相关性。结果表明,质构品质中的硬度和耐咀嚼性均与湿米粉的感官品质和蒸煮品质呈极显著相关,可作为湿米粉品质评定的主要指标。     

Behavioral modeling based on cloud computing and target user recommendation for English cloud classroom

The English cloud classroom learning system provides a simple and effective way to access cloud-based training and learning materials. Student records based on behavioral modeling and interactive volume are assumed that the degree of student participation in the course measure. Previous studies, typically the frequency of student activities while ignoring temporary information. Analysis of Students' Activities in the course over time. According to the online classroom activity data, similar behavior change with time students are clustered. These results are three different groups. A large majority of inactive students. Another group to active throughout the students. However, a group of students to the event, but their activity will be reduced throughout the course. These student groups exhibit different performance. Overall students more active, the better the results. In addition to these general trends, also identified a trend of alternative courses that can be found, for example, becomes an active group of students in the course. It suggests that students' behavior is identified from a single course of conduct than the more complex, multi-mode learning activities course. More research is essential. In this study, investigated the Portuguese teachers 'views on classroom management, the relationship between self-off and the efficacy of teachers' and teachers' perception of classroom behavioral teachers' perception of time. Use mediator and moderator variables on the cloud classroom management, and teachers of English teachers perceive the relationship between classroom conditions were cheating process analysis.